Movement Analysis and Feedback Systems, Applications, Devices, and Methods of Production Thereof

ABSTRACT

Contemplated systems for monitoring and analysis of human motion synthesis are disclosed herein that include: at least one garment configured to be worn by a user, at least one inertial sensor, wherein the at least one inertial sensor is integrated with or into the at least one garment, an information system, wherein the information system communicates with the at least one inertial sensor to produce a set of data, at least one musculorientation metric generated by the information system, and at least one performance report that is produced from the analysis of the at least one musculorientation metric.

FIELD OF THE SUBJECT MATTER

The field of the subject matter is movement analysis and feedbacksystems, applications, devices, and methods of production of thosesystems, applications, and devices.

BACKGROUND

Movement is a basic feature of human existence and is intimatelyconnected to quality of life. Movement training can prevent injury,improve athletic performance, delay musculoskeletal disease andaccelerate rehabilitation. Until now, training has been limited in scopeto specialized training facilities and limited in effectiveness to theverbal recommendations of physical trainers. We seek to expand the scopeand effectiveness of human movement training to extend health andlifestyle benefits to the general public.

Since the 1970's, running popularity has continuously grown as aprofessional and recreational sport. It is estimated that 65 millionpeople participated in this activity in United States alone in 2017[statista.com]. Between 1990 and 2013, road race finishers grew fromfive million to over 19 million [runningusa.org]. Contributing to itspopularity, running was proved to have major health benefits, such asimproving cardiovascular endurance and overall quality of life, anddecreasing the prevalence of type 2 diabetes, obesity, and hypertension[Kalak et al. 2012]. In the U.S., 10-20% of the population runregularly, with 40-50% injured annually [Jeannie et al., 2010]. Amongthese injuries, half occur at the knee joint, with patellofemoral pain(PFP) being the most common diagnosis [Taunton et al 2002, Totaro et al2017]. PFP can lead to severe pain and disability and is a precursor ofknee osteoarthritis [Thomas et al 2010]. There lies a huge potential forsports science and physical therapy to use feedback mechanisms asintervention tool [VenBreda et al 2017].

Arthritis is the leading cause of disability among adults in the U.S.Knee osteoarthritis is the most prevalent form of arthritis afflicting28% of U.S. adults over age 45 and 37% of U.S. adults over age 65. $128billion in total costs or 1.2% of the U.S. gross domestic product wasspent on arthritis in 2003. Reducing the incidence of arthritis by even1% would cut the total cost by $1.3 billion per year, a savings of morethan $3.5 million per day [Lawrence et al 2008, Helmik et al 2008].

Knee joint osteoarthritis (OA) is a significant public health problemcausing pain and limiting mobility and is believed to have mechanicaletiology. Retraining one's walking gait can alter the loads placed onthe knee, reducing the risk of developing OA and halting diseaseprogression. The joint moment applied to the knee in the frontal planeduring walking (knee adduction moment) has been linked to thedevelopment, progression, and severity of knee joint OA [Schipplein andAndriacchi 1991, Andriacchi 1994]. The knee adduction moment provides anestimate of the load placed on the medial compartment of the joint[Schipplein and Andriacchi 1991] and reducing the knee adduction momentoffers a promising metric for preventing and treating medial compartmentknee OA. Traditionally, exercise and physical therapy have been used tostrengthen muscles surrounding affected joints [Ettinger et al 1997,Kovar et al 1992] in an attempt to reduce loads. Orthopaedic surgery hasalso focused on reducing the loads on the medial part of the knee. Anexample of this is a high tibial osteotomy (HTO), which has been shownto reduce the knee adduction moment by 30-35% [Visintin et al 1998,Prodromos et al 1985]. However, HTO is not effective in all cases andpatients with large knee adduction moments prior to surgery sometimesmaintain these high moments following surgery [Prodromos et al 1985].

Hip OA is correlated with loading patterns in the hip joint duringambulatory motion [Frost 1994, Radin 1991]. Many patients naturallyalter gait to reduce hip pain from dysplasia [Schroter 1991] and OA[Hurwitzh 1997, Wall 1981]. It is therefore feasible that a patient'sambulation could be retrained to change biomechanical loads, slowing orhalting the onset and progression of hip OA. Hip arthroplasty resultingfrom musculoskeletal disease often leads to gait asymmetry, which can becorrected through movement retraining. Today, the most effective formsof treating OA in the hip and the knee are through surgery or prolongedrehabilitation. These treatments are invasive, expensive and notguaranteed to work. Thus, hip OA, like knee OA, is in need of a new,inexpensive and effective motion retraining solution.

Many other neurological disorders would benefit from novel and effectivemovement analysis and retraining strategies. Children with cerebralpalsy, for example, benefit from muscle strength training [Dodd 2002],lower limb orthoses [Morris 2002] and functional electrical stimulation[Kerr 2004]. Other movement-impaired neurological disorders which wouldbenefit from a more efficient and effective form of movement retraininginclude spinal cord injury [Barbeau 1999, Wirz 2005, Behrman 2000],traumatic brain injury [Khan 2003, Gordon 2006] and Parkinson's disease[Morris 2001, Gage 2004].

There has been much research in developing smart wear with integratedsensors, with applications in different areas. Some recent examples thatinvolve soft suits which can be used in daily activities. The commercialproduct by Athos, which was described in U.S. patent Ser. No.10/292,652, includes a compression shirt and shorts with integratedinertial measurement unit (IMU) and electromyography (EMG) sensors, bothof which are biometric sensors. It provides visual information on muscleefforts using a smartphone app (www.liveathos.com).

There are several deficiencies in the Athos design, however. First, thesoft suits are only designed to provide simple muscle-based metrics fromthe muscle activity of the user. For those wearers who are looking for amore comprehensive feedback and analysis system, the Athos design willnot provide that system. Second, the sensors used in the Athos designare biometric sensors, which leads to the relatively superficial natureof the feedback and analysis. Third, the Athos design is not designed toprovide real-time feedback and analysis during the activity of thewearer. The feedback provided by the Athos system is after the activityis completed. While this provides some useful information to the wearer,it does not help the wearer retrain his or her movement during theactivity itself.

Contemplated objectives should include to develop a cyber-physicalsystem that uses sensed information along with computer models of humanlocomotion to characterize an individual's running gait and thatprovides multi-modal feedback signals for gait training to close theloop and improve human motion over time. Analyzing human running throughmodeling and algorithmic tools from both robotics and biomechanicsincreases our scientific understanding of gait mechanics and control,and the resulting models also provide a basis for clinicians to quantifycharacteristics of a subject's gait and to design effective treatments,like gait retraining or muscle strengthening. Improved ability toidentify and correct risky running behaviors would have broad impact, asover 10% of Americans run regularly, with over half estimated to sufferrunning-related injuries annually (Jeannie et al., 2010). On the otherhand, knee osteoarthritis is the most prevalent form of arthritisafflicting 28% of U.S. adults over age 45 and 37% of U.S. adults overage 65. Reducing the incidence of arthritis by even 1% would cut thetotal cost by $1.3 billion per year, a savings of more than $3.5 millionper day.

SUMMARY OF THE SUBJECT MATTER

Contemplated systems for monitoring and analysis of human motionsynthesis are disclosed herein that include: at least one garmentconfigured to be worn by a user, at least one inertial sensor, whereinthe at least one inertial sensor is integrated with or into the at leastone garment, an information system, wherein the information systemcommunicates with the at least one inertial sensor to produce a set ofdata, at least one musculorientation metric generated by the informationsystem, and at least one performance report that is produced from theanalysis of the at least one musculorientation metric.

Other contemplated systems for monitoring and analysis of human motionsynthesis are disclosed herein that include: at least one garmentconfigured to be worn by a user, at least one inertial sensor, whereinthe at least one inertial sensor is integrated with or into the at leastone garment, an information system, wherein the information systemcommunicates with the at least one inertial sensor to produce a set ofdata, at least one musculorientation metric generated by the informationsystem, and at least one performance report that is produced from theanalysis of the at least one musculorientation metric, wherein the atleast one performance report is generated during the user's motion,immediately after the user's motion, or a combination thereof.

Yet other contemplated systems for monitoring and analysis of humanmotion synthesis are disclosed herein that include: at least one garmentconfigured to be worn by a user, at least one inertial sensor, whereinthe at least one inertial sensor is integrated with or into the at leastone garment, an information system, wherein the information systemcommunicates with the at least one inertial sensor to produce a set ofdata, at least one musculorientation metric generated by the informationsystem, and at least one performance report that is produced from theanalysis of the at least one musculorientation metric, wherein the atleast one performance report is generated as concurrent feedback viahaptics information, is generated as terminal feedback via visualinformation, or a combination thereof.

Another contemplated software system that analyzes human motionsynthesis is disclosed herein that comprises: a two-way communicationssystem, an information system, wherein the information systemcommunicates with at least one inertial sensor through the two-waycommunications system, wherein the at least one inertial sensor isintegrated with or into at least one garment to produce a set of data,at least one musculorientation metric generated by the informationsystem, and at least one performance report that is produced from theanalysis of the at least one musculorientation metric.

BRIEF DESCRIPTION OF THE FIGURES

FIG. 1 shows contemplated locations of the vibrotactile or inertialmotors or sensors.

FIG. 2 shows a contemplated CyberSuit and its Sensory/Feedback HardwareComponents.

FIG. 3 shows a contemplated simulation framework.

FIG. 4 shows an example of a subject wearing the wireless sensing andfeedback system.

FIG. 5 shows a contemplated experimental setup and system Graphical UserInterface (GUI).

FIG. 6 shows a contemplated overview of the CyberSuit SoftwareComponents.

FIG. 7 shows the same user 700 with the graphical user interface 720 orGUI, which in this contemplated embodiment is the smart phone that theuser is carrying, that is gathering the data from the haptic feedbackhardware 710 and providing the at least one performance report (notshown in this Figure).

DETAILED DESCRIPTION

The wearable technology market is expected to witness high growth. Theoverall wearable technology market is expected to grow from USD 15.7billion in 2015 to USD 51.6 billion by 2022, at a CAGR of 15.51% from2016 to 2022. Application areas range from consumer durables andhealthcare to enterprise, research and so on. Target customers includesportsman (i.e. runners), university/varsity teams, fitness/trainingcenters, rehabilitation facilities, research institutions/universities(i.e. robotics/biomechanics labs, departments including kinesiology,physical therapy, engineering) and end users who want to know more aboutthe wearable technology and the latest technological developments inthis industry. Market drivers are consumer preference for sophisticatedgadgets, increasing growth prospects of next generation displays inwearable devices, and growing popularity of Internet of Things (IoT) andconnected devices. Market opportunities include adoption of wearables inmultiple application areas, and multi-featured and hybrid applicationmobile devices.

In general, a system for human motion synthesis and analysis iscontemplated herein, which comprises integrated inertial measurementunits to track the motion and orientation of the body and limb segments.FIG. 1 shows contemplated locations for vibrotactile motors or inertialsensors 1-10. There may be additional inertial sensors locatedthroughout contemplated systems, as needed.

Contemplated software/framework reconstructs an anatomically accuratemusculoskeletal system that is scaled to represent the subject, alongwith analysis of the musculoskeletal system with respect to the movementof the user, and presentation of performance reports and metrics. Themusculoskeletal system is used for synthesis and analysis of the motionto improve the performance metrics. The musculoskeletal system comprisesthe skeletal bone system geometry, muscle system, and degree of freedomsof body joints. The anatomically accurate musculoskeletal system isdriven by the motion and orientation of the body and limb segmentstracked.

Contemplated movement analysis and feedback systems use sensedinformation along with computer models of human locomotion tocharacterize an individual's running gait and that provides multi-modalfeedback signals for gait training to close the loop and improve humanmotion over time. Analyzing human running through modeling andalgorithmic tools from both robotics and biomechanics increases ourscientific understanding of gait mechanics and control, and theresulting models also provide a basis for clinicians to quantifycharacteristics of a subject's gait and to design effective treatments,like gait retraining or muscle strengthening.

Specifically, contemplated systems for monitoring and analysis of humanmotion synthesis are disclosed herein that include: at least one garmentconfigured to be worn by a user, at least one inertial sensor, whereinthe at least one inertial sensor is integrated with or into the at leastone garment, an information system, wherein the information systemcommunicates with the at least one inertial sensor to produce a set ofdata, at least one musculorientation metric generated by the informationsystem, and at least one performance report that is produced from theanalysis of the at least one musculorientation metric. In contemplatedembodiments, the set of data comprises the user's motion data.

Other contemplated systems for monitoring and analysis of human motionsynthesis are disclosed herein that include: at least one garmentconfigured to be worn by a user, at least one inertial sensor, whereinthe at least one inertial sensor is integrated with or into the at leastone garment, an information system, wherein the information systemcommunicates with the at least one inertial sensor to produce a set ofdata, at least one musculorientation metric generated by the informationsystem, and at least one performance report that is produced from theanalysis of the at least one musculorientation metric, wherein the atleast one performance report is generated during the user's motion,immediately after the user's motion, or a combination thereof. Ascontemplated and as will be described herein, the at least oneperformance report is generated as concurrent feedback via hapticsinformation, including vibrotactile or other haptic modalities, as audioinformation; is generated as terminal feedback via visual information;or a combination thereof.

Contemplated garments comprise four main components: a headband 210, ashirt 220, a pair of pants 230, and shoelaces 240, or a combinationthereof, which is shown in FIG. 2 . Additional embodiments may include ajacket or shorts. Each of these components have non-biometric sensors tomeasure motion and measure muscle activities. In FIG. 2 , the positionsof vibrotactile motors 250 and inertial sensors 260 are shown, alongwith IMUs, headphones 270, control modules 280, and EMGs 290. Hapticfeedback is provided by motors or sensors embedded in the suit. Theheadband includes a microphone to receive the subject's inputs, such ashis/her comfort, during training. The tactile motors are placed onstrategic locations on the body for effective tactile feedback, which isincluded in the at least one performance report that is generated duringthe user's motion. The performance of various types of motors have beenevaluated in preliminary testing and promising results have beenobserved using eccentric-mass motors with proper orientation to focusthe vibration direction perpendicular to the skin surface. The suitincludes the main control module which serves as the central processingunit to process the sensor data, model the dynamics, and decide on whichfeedback to activate.

Contemplated systems include at least one inertial sensor, wherein theat least one inertial sensor is integrated with or into the at least onegarment. Contemplated primary inertial sensors are non-biometricsensors. An EMG sensor, for example, is a biometric sensor and thereforeit is not contemplated herein as the sole source or even the primarysource of data. At least one EMG sensor could be used as a secondarysource of information for contemplated systems, but again, it is not aprimary source of data.

It should be understood that one primary goal of contemplatedembodiments is the reconstruction of anatomical musculoskeletal systemthat is scaled to represent the subject for synthesis and analysis.Contemplated musculoskeletal systems include skeletal bone systemgeometry, muscle system, and degree of freedoms of body joints.Contemplated embodiments are driven by the tracking of the motion andorientation of the body and of the limb segments.

Contemplated systems also include an information system, wherein theinformation system communicates with the at least one inertial sensor toproduce a set of data. Contemplated information systems comprise a maincontrol module and at least one additional control module. Contemplatedinformation systems are designed to wirelessly communicate with the atleast one inertial sensor. In some embodiments, the communications pathis a one-way path from the inertial sensors to the information system.In other embodiments, the communications path is a two-way path from theinertial sensors to the information system and then back in the otherdirection, as the information system works with and/or adjusts thesensors to gather additional information and data. In some embodiments,the communication from the information system back to the at least oneinertial sensor comprises at least one feedback instruction.

In contemplated systems, at least one musculorientation metric isgenerated by the information system. As defined herein, a“musculorientation metric” means a metric or data point that is thenumerical result of tracking at least some part of the motion,orientation, or a combination thereof of a body segment, a limb segment,or a combination thereof. The musculorientation metrics are thosemetrics that are used to produce the at least one performance report forthe wearer and/or user. As part of the performance report, acontemplated analysis can review and provide information on trunk and/orbody lean, pelvic tilt, knee movement and/or moment, foot strikepattern, ground reaction force, fatigue, along with other suitableperformance metrics. In some embodiments, at least one performancereport is generated instantaneously for the user. In other embodiments,at least one performance report is generated as concurrent feedback viahaptics information, is generated as terminal feedback via visualinformation, or a combination thereof. In yet other embodiments, the atleast one performance report is generated during the user's motion,immediately after the user's motion, or a combination thereof.

It should be understood that the at least on performance report willinclude or incorporate complex calculations in real-time handle bylow-power custom circuits employing parallel computing paradigm locallyon the system. In many contemplated embodiments, calculations areperformed locally and not remotely on a cloud or remote server, which iswhy contemplated systems are able to provide information in real-timefor the wearer. FIG. 3 shows a contemplated user interface that providesa performance report 300 for the user, wherein a musculoskeletal model310 is coupled with a vibrotactile or inertial interface 320, an IMUmotion model 330, and an experimental procedure script 340 that is partof the system controller system. It should be understood that the designof this user interface and performance report can take a number ofdifferent representations and can include more or less information,depending on the system The system shown in FIG. 3 is an example, butother systems are contemplated.

There are some potential challenges to systems contemplated herein,including battery life and cost. These challenges can be overcome in anumber of ways, including developing in-house non-biometric sensors andintegrating those with the haptic suit. As smaller and more powerfulnon-biometric sensors are developed commercially, those can beintegrated easily into this technology at a lesser cost. In addition,the performance of various types of motors have been evaluated inpreliminary testing, as shown in Example 1, and promising results havebeen observed using eccentric-mass and low-cost motors with properorientation to focus the direction perpendicular to the skin surface.

The IMU is a compact sensor frequently used in wearables to detectorientation. However, one issue is that its readings drift over time,which affects the accuracy of the measured orientation. In low cost MEMSIMUs, sensor fusion algorithms are commonly used to compensate for thedrift. Contemplated devices will further reduce the drift by utilizing ahybrid IMU design with custom algorithm. Contemplated devices alsoinclude on-the-fly calibration, as well as error zeroing during periodsof inactivity. This new low-drift IMU will allow the haptic suit to beused continuously during a typical training session.

Contemplated kinematic and dynamic modeling in real-time requires a lotof computing power. Most micro-controllers do not have the computationalspeed required. A regular microprocessor, although fast, dissipates toomuch power and heat to be used in a wearable. Contemplated designs forthe processing unit for the haptic suit will utilize a uniquecombination of micro-controllers with a custom circuit such as afield-programmable-gate-array (FPGA) orapplication-specific-integrated-circuit (ASIC). A contemplatedmicro-controller will perform the general computation while theFPGA/ASIC will handle the complex kinematic calculation and modeling.

With this hybrid approach, the high speed and low power requirements canbe met in the system. Software and hardware systems that are designed toimplement and complete contemplated kinematic modeling and inertialanalysis are contemplated herein.

A contemplated software system that analyzes human motion synthesis isdisclosed herein that comprises: a two-way communications system, aninformation system, wherein the information system communicates with atleast one inertial sensor through the two-way communications system,wherein the at least one inertial sensor is integrated with or into atleast one garment to produce a set of data, at least onemusculorientation metric generated by the information system, and atleast one performance report that is produced from the analysis of theat least one musculorientation metric. In some contemplated embodiments,the two-way communications system comprises at least one wireless link.

EXAMPLES Example 1

FIG. 4 shows a contemplated user 400 wearing a contemplated system thatincludes haptic feedback hardware 410, and a plurality of vibrationlocations 420. In this embodiment, the user is on a treadmill 430 with abutton/operation panel 440. FIG. 5 shows the same user 500 with thegraphical user interface 520 or GUI that is gathering the data from thehaptic feedback hardware 510 and providing the at least one performancereport 530. FIG. 7 shows the same user 700 with the graphical userinterface 720 or GUI, which in this contemplated embodiment is the smartphone that the user is carrying, that is gathering the data from thehaptic feedback hardware 710 and providing the at least one performancereport (not shown in this Figure). It should be understood that thetreadmill is used as a way to provide an efficient way for the user tomove; however, the treadmill is not necessary, if the user is able towalk outside or on an indoor/outdoor track.

Table 1 shows the motors comparison when comparing conventional systemswith the novel design disclosed herein. The last row of the tableillustrates the novel design, which was based on the benchmark. Thestudy found that the novel design was more cost effective, lightweight,and better in performance than conventional designs.

Vibration Acceleration magnitude (G) peak-to-peak (normalized (G) wrt100 g Weight X Y Z test sled) (g) Conventional A 0.20 0.34 4.77 3.0117.00 Conventional B 0.51 0.45 2.39 1.26 8.00 Conventional C 2.96 0.652.58 1.99 5.00 Conventional D 0.75 1.08 3.76 1.63 0.95 Conventional E1.77 1.26 0.22 0.89 1.00 Conventional F 1.75 1.16 0.34 0.87 0.80Contemplated 4.55 0.84 4.01 2.76 4.00 Design

FIG. 6 shows a flow chart of how these different components ofcontemplated systems and how they may relate to one another. Block 601shows the headband 605 and its contemplated constituents: an IMU 610, acontrol module 615, and at least one headset 620. A wireless link 630communicatively connects the headband 605 and the shirt 645 in block641. Shirt 645 comprises at least one IMU 650, a main control module655, and at least one motor 660. In addition, there are two additionalwireless links 670 and 675 that communicatively connects the shirt 645with the smartphone or computer 695 and the pants 685 shown in block681. Pants 685 comprises at least one IMU 687, at least one controlmodule 688, and at least one motor 689. A wireless link 692communicatively connects the pants 685 and the shoes 695 in block 690.There may also be a plurality of EMGs 646 on these components and areshown as part of the shirt 645 and the pants 685 in this Figure. Itshould be understood that the contemplated wireless links disclosedherein may be one-way communication links but are likely two-waycommunication links between the control modules and the main controlmodule, which communicates with the smartphone or computer.

Thus, specific embodiments, methods of movement analysis and feedbacksystems have been disclosed. It should be apparent, however, to thoseskilled in the art that many more modifications besides those alreadydescribed are possible without departing from the inventive conceptsherein. The inventive subject matter, therefore, is not to be restrictedexcept in the spirit of the disclosure herein. Moreover, in interpretingthe specification and claims, all terms should be interpreted in thebroadest possible manner consistent with the context. In particular, theterms “comprises” and “comprising” should be interpreted as referring toelements, components, or steps in a non-exclusive manner, indicatingthat the referenced elements, components, or steps may be present, orutilized, or combined with other elements, components, or steps that arenot expressly referenced.

We claim:
 1. A system for monitoring and analysis of human motionsynthesis, comprising: at least one garment configured to be worn by auser, at least one inertial sensor, wherein the at least one inertialsensor is integrated with or into the at least one garment, aninformation system, wherein the information system communicates with theat least one inertial sensor to produce a set of data, at least onemusculorientation metric generated by the information system, and atleast one performance report that is produced from the analysis of theat least one musculorientation metric.
 2. The system of claim 1, whereinthe at least one garment comprises a shirt, a pair of pants, a pair ofshorts, a jacket, a headband, a shoelace, or a combination thereof. 3.The system of claim 1, wherein the set of data comprises the user'smotion data.
 4. The system of claim 1, wherein the communication is aone-way communication circuit from the at least one inertial sensor tothe information system.
 5. The system of claim 1, wherein thecommunication is a two-way communication circuit from the at least oneinertial sensor to the information system and back to the at least oneinertial sensor.
 6. The system of claim 1, wherein the communicationfrom the information system back to the at least one inertial sensorcomprises at least one feedback instruction.
 7. The system of claim 1,wherein the at least one performance report is generated instantaneouslyfor the user.
 8. The system of claim 1, wherein the at least oneperformance report is generated as concurrent feedback via hapticsinformation, is generated as terminal feedback via visual information,or a combination thereof.
 9. The system of claim 1, wherein the at leastone inertial sensor comprises at least one non-biometric sensor.
 10. Thesystem of claim 1, wherein the at least musculorientation metriccomprises at least one piece of information about a motion, anorientation, or a combination thereof of a body segment, a musclesegment, a limb segment, or a combination thereof.
 11. The system ofclaim 1, wherein the at least one performance report is generated duringthe user's motion, immediately after the user's motion, or a combinationthereof.
 12. The system of claim 1, wherein the information systemcomprises a main control module and at least one additional controlmodule.
 13. A system for monitoring and analysis of human motionsynthesis, comprising: at least one garment configured to be worn by auser, at least one inertial sensor, wherein the at least one inertialsensor is integrated with or into the at least one garment, aninformation system, wherein the information system communicates with theat least one inertial sensor to produce a set of data, at least onemusculorientation metric generated by the information system, and; atleast one performance report that is produced from the analysis of theat least one musculorientation metric, wherein the at least oneperformance report is generated during the user's motion, immediatelyafter the user's motion, or a combination thereof.
 14. The system ofclaim 13, wherein the at least one performance report is generated asconcurrent feedback via haptics information, including vibrotactile orother haptic modalities, as audio information; is generated as terminalfeedback via visual information; or a combination thereof.
 15. A systemfor monitoring and analysis of human motion synthesis, comprising: atleast one garment configured to be worn by a user, at least one inertialsensor, wherein the at least one inertial sensor is integrated with orinto the at least one garment, an information system, wherein theinformation system communicates with the at least one inertial sensor toproduce a set of data, at least one musculorientation metric generatedby the information system, and; at least one performance report that isproduced from the analysis of the at least one musculorientation metric,wherein the at least one performance report is generated as concurrentfeedback via haptics information, including vibrotactile or other hapticmodalities, as audio information; is generated as terminal feedback viavisual information; or a combination thereof.
 16. A software system thatanalyzes human motion synthesis, comprising: a two-way communicationssystem, an information system, wherein the information systemcommunicates with at least one inertial sensor through the two-waycommunications system, wherein the at least one inertial sensor isintegrated with or into at least one garment to produce a set of data,at least one musculorientation metric generated by the informationsystem, and at least one performance report that is produced from theanalysis of the at least one musculorientation metric.
 17. The softwaresystem of claim 16, wherein the two-way communications system comprisesat least one wireless link.